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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Artificial Intelligence
Presentation Title Modeling Particle Transport in Laser Powder Bed Fusion Melt Pools
Author(s) Nathan Wassermann, Alan McGaughey, Sneha Prabha Narra
On-Site Speaker (Planned) Sneha Prabha Narra
Abstract Scope The transport of spherical particles such as argon gas pores or oxide particles in the laser powder bed fusion melt pool is governed by complex mass transport phenomena. We introduce a model based on Newton’s second law to simulate particle trajectories in the melt pool, enabling quantitative microstructural predictions for varying processing conditions. First, we simulate the evolution of powder-entrapped argon pores in Ti-6Al-4V. The predicted pore number density falls within one order of magnitude of experimental measurements. Further, we develop strategies to promote pore elimination by reducing the hatch spacing and layer thickness. Second, we extend the model to simulate the evolution of oxide particles in a Ni-20Cr ODS alloy. The model predicts the oxide size distribution in bulk parts and enables the quantification of oxide loss. Results support the development of model-driven processing strategies to improve the microstructure, such as eliminating argon pores and micron-scale oxide inclusions.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Modeling and Simulation, ICME

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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A Framework for Efficient Part-Scale Microstructure Prediction in Laser Powder Bed Ti-6Al-4V Using Combined Physics-Based Modeling and Machine Learning Surrogate Methods
A Machine Learning-Based Model for Fatigue Behavior Prediction and Analysis of Surface Treated Laser Powder Bed Fused Nickel Based Super Alloys
A Statistics-Informed Efficient Micromechanical Model for Additively Manufactured Ti-6Al-4V
Adding Sub-Grain Features to Mesoscale Additive Manufacturing Microstructure Simulations
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An Experimentally Validated Defect Mapping Strategy for Laser Powder Bed Fusion Processed Nickel Alloys
BOF Endpoint Carbon Content Prediction Model Based on Data and Mechanism Driven
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Columnar-To-Equiaxed Transition in Laser Fusion Additive Manufacturing
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Crystal Plasticity–Informed Surrogate Modeling for Predictive Laser Powder Bed Fusion Simulation of Ti-6Al-4V
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F-22: An Artificial Neural Network Modeling Approach to Electroforming of Micro-Tubes in the Presence of Surfactants
F-23: Computational Thermodynamics-Based Optimization of Ti-6Al-4V via Al and V Substitution for Additive Manufacturing
F-24: Convolution Tensor Decomposition Method for Efficient High-Resolution Solutions to the Allen-Cahn Equation: Application to Grain Growth Simulations in Additive Manufacturing
F-25: Creep Property of SS316L Lattices Fabricated by Laser Powder Bed Fusion
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F-27: Expanding Capabilities to Simulate Powder Bed Fusion Process With Additive Manufacturing Module
F-28: Experimental‑CFD-Based Observation of Thermo‑Fluid Mechanisms in LPBF with Nanoparticle‑Coated Powders
F-29: Impact of Intermittent Laser on Fluid and Thermal Response in Directed Energy Deposition: A Numerical Study
F-30: Influence of Inoculants on Aluminum Alloy Microstructure Evolution During Fast Solidification: A Computational Approach Under Laser Powder Bed Fusion Conditions
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Identifying LPBF Anomalies and Creep Damage in Nickel Based Super Alloys
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